{"id":"W3108053535","doi":"10.1109/tfuzz.2020.3041164","title":"Analysis of Acceptably Multiplicative Consistency and Consensus for Incomplete Interval-Valued Intuitionistic Fuzzy Preference Relations","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Multiplicative function; Consistency (knowledge bases); Preference; Property (philosophy); Interval (graph theory); Mathematics; Group decision-making; Mathematical optimization; Complete information; Fuzzy logic; Computer science; Mathematical economics; Statistics; Artificial intelligence; Discrete mathematics; Combinatorics; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001463364,0.0003185109,0.00114914,0.001057674,0.0005069691,0.0003558559,0.0006267579,0.000171717,0.000187258],"category_scores_gemma":[0.001658793,0.0002737494,0.000468731,0.002656111,0.0003788938,0.0002331339,0.00001386897,0.0002639488,0.0001026646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009100125,"about_ca_system_score_gemma":0.0001270199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551332,"about_ca_topic_score_gemma":0.0001502747,"domain_scores_codex":[0.9948949,0.0006828631,0.002013718,0.001031654,0.001070914,0.0003060119],"domain_scores_gemma":[0.9900044,0.006676708,0.0008626025,0.0008685794,0.001283153,0.0003046097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006322203,0.002303801,0.008500877,0.0009853173,0.0134392,0.00004639987,0.04572754,0.6172115,0.06960955,0.0378408,0.01093618,0.1870766],"study_design_scores_gemma":[0.002617185,0.0006474846,0.008277555,0.0002271157,0.001865763,0.00001897405,0.007416567,0.9723555,0.001011889,0.003103196,0.001767743,0.0006909595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09823183,0.000123407,0.8949505,0.0006606818,0.000684989,0.001477512,0.002376833,0.0001053227,0.001388893],"genre_scores_gemma":[0.9927913,0.000007576592,0.006384986,0.0001407844,0.00004004442,0.0002536469,0.00001519635,0.00002683598,0.000339662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8945594,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2705239673590031,"score_gpt":0.3912109914322972,"score_spread":0.1206870240732941,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}